Wipro is hiring a Senior Full Stack Quantitative Developer to join our team focused on building advanced applications for commodities trading and finance. As part of a modern, reinvention-driven digital transformation partner, you will design secure, scalable solutions and collaborate directly with quantitative analysts and traders.
What You'll Do
- Design, develop, and maintain secure, scalable applications for commodities trading using Python and Azure cloud technologies.
- Leverage proficiency in Python and major numerical libraries like Pandas, NumPy, and SciPy.
- Utilize a second strongly typed programming language such as C#, C++, Rust, or Java as required.
- Implement DevOps best practices including Infrastructure as Code, Kubernetes, Docker, and automation testing frameworks.
- Develop, optimize, and maintain data engineering pipelines using Databricks, PySpark, Lakehouses, and Kafka.
- Apply software design patterns to build robust and future-proof solutions.
- Collaborate with quant developers, analysts, and traders to translate business requirements into technical specifications.
- Mentor and guide junior developers, contributing to team growth and technical excellence.
- Assist with interviews and hiring during team expansions.
- Engage stakeholders effectively, communicating complex technical concepts to both technical and non-technical audiences.
What We're Looking For
- Extensive experience in Python application development within trading, finance, or quantitative domains.
- Proficiency with major Python numerical libraries (pandas, numpy, scipy, stats).
- Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java).
- Strong background in Azure cloud application development, including security, observability, storage, and databases.
- Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka).
- Hands-on experience with DevOps processes and tools: infrastructure as code, Kubernetes, Docker.
- Knowledge of software engineering best practices including test automation, software design patterns, and system architecture.
- Advanced mathematics and quantitative analysis skills, with hands-on experience in probabilistic modeling and valuation of financial derivatives.
- Domain expertise in derivatives within energy commodities, especially LNG, Gas, or Power Trading.
- Demonstrated stakeholder engagement skills and ability to rapidly translate business needs into technical solutions.
Nice to Have
- Direct experience working with PnL, Greeks, volatility, partial derivatives, and normal distribution concepts.
- Strong understanding of financial markets and products, with particular emphasis on trading and risk management.
- Ability to lead technical teams in Agile delivery.
Technical Stack
- Languages: Python, C#, C++, Rust, Java
- Libraries & Frameworks: Pandas, NumPy, SciPy
- Cloud & Infrastructure: Azure, Kubernetes, Docker
- Data Engineering: Databricks, PySpark, Lakehouses, Kafka
Wipro is an equal opportunity employer.
